TinyML for Autonomous Systems and Robotics Training Course

This live, instructor-led training in Thailand (delivered online or on-site) targets intermediate-level participants interested in understanding the contribution of collaborative robots (cobots) and other human-centric AI systems to modern workplace operations.

Upon completion, participants will be equipped to:

• Grasp the foundational principles of Human-Centric Physical AI and its real-world applications.
• Examine how collaborative robots contribute to boosting workplace efficiency.
• Recognize and mitigate complexities inherent in human-machine interactions.
• Structure workflows that foster seamless synergy between human teams and AI-driven systems.
• Cultivate an organizational culture that champions innovation and adaptability in AI-enabled environments.

This practical HRI course in Thailand explores voice, gesture, and collaborative control mechanisms. Participants will learn to create intuitive, multimodal interfaces that facilitate safe human-robot collaboration. The curriculum emphasizes applied design principles, speech recognition, gesture detection, and shared autonomy to improve both usability and safety standards.

This hands-on training in Thailand covers ROS-PLC integration and digital twins for industrial automation. Learn to synchronize robotic systems with PLCs, develop digital replicas for simulation, and optimize production workflows through real-time data exchange and advanced monitoring techniques.

This instructor-led live training, conducted in Thailand (either online or on-site), is tailored for engineers eager to investigate the application of artificial intelligence within mechatronic systems.

By the conclusion of the program, participants will be capable of:

• Gaining a broad perspective on artificial intelligence, machine learning, and computational intelligence.
• Comprehending neural network concepts and diverse learning techniques.
• Effectively selecting AI methodologies to solve practical problems.
• Applying AI technologies in mechatronic engineering projects.

An advanced training in Thailand covering the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize collaboration across agents using hands-on simulation in ROS 2 and Gazebo for real-world applications.

This instructor-led live training in Thailand (delivered online or onsite) is tailored for advanced robotics engineers and AI researchers. It focuses on applying Multimodal AI to synthesize various sensory data streams, enabling the creation of more autonomous and efficient robots with multimodal perception capabilities.

By the conclusion of this program, participants will be able to:

• Integrate multimodal sensing into robotic architectures.
• Design AI algorithms for sensor fusion and strategic decision-making.
• Develop robots that can handle complex tasks in fluctuating environments.
• Overcome challenges associated with real-time data processing and actuation.

This live, instructor-led training in Thailand, offered either online or onsite, is designed for intermediate-level participants looking to advance their skills in creating, coding, and deploying intelligent robotic systems for automation and complex scenarios.

By the end of the session, attendees will be able to:

• Comprehend the principles of Physical AI and its role in robotics and automation.
• Design and code intelligent robotic systems suited for dynamic settings.
• Implement AI models to facilitate autonomous decision-making in robots.
• Apply simulation tools for rigorous robotic testing and optimization.
• Navigate challenges involving sensor fusion, real-time data processing, and energy efficiency.

This practical, instructor-led training in Thailand focuses on rapid prototyping in robotics utilizing ROS 2 and Docker. Participants acquire hands-on expertise in building, testing, and deploying modular robotic systems, while developing essential skills in containerization, simulation, and version control to support scalable development.